Federic / lora-fine-tuning-llama2-SQL-codellama-TEST

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Introduction of lora-fine-tuning-llama2-SQL-codellama-TEST

Model Details of lora-fine-tuning-llama2-SQL-codellama-TEST

lora-fine-tuning-llama2-SQL-codellama-TEST

This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset.

Model description

More information needed

Intended uses & limitations

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Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 3
  • total_train_batch_size: 12
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1
  • mixed_precision_training: Native AMP
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1

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Federic
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